Azure Data Architect

1 day ago

Pune Maharashtra, India MNR Solutions Pvt. Ltd. Full time

**Position**: Azure Data Architect
**Location**: Pune / Hyderabad
**Experience**: 6-8 Years

**About the Role:

- **

**Key Responsibilities:

- **
- Architect, design, and maintain **end-to-end data platforms** using Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks.
- Lead and deliver **data science & analytics projects** using Azure Machine Learning, Python, R, and ML frameworks.
- Build and optimize **high-volume data pipelines** with a focus on scalability, performance, and cost efficiency.
- Perform **query optimization, indexing, and tuning** across structured and unstructured data sources.
- Enable **real-time analytics & predictive insights** using Azure Stream Analytics, Synapse Real-Time, and Power BI.
- Define and implement **data governance, security, and compliance strategies**.
- Provision and manage **Azure Data Fabric components** (Delta Lake, Blob Storage, Lakehouse).
- Integrate solutions with internal/external systems using **REST APIs, Azure Functions, Logic Apps, Event Grid**.
- Monitor & maintain workloads using **Azure Monitor, Log Analytics, Application Insights**.
- Collaborate with data scientists, analysts, and business stakeholders to align solutions with business goals.
- Mentor junior engineers and contribute to internal **data strategy & innovation forums**.
- Participate in stakeholder meetings, with **occasional travel** if required.

**Desired SkillsAzure Data Engineering & Analytics**
- Microsoft Fabric: Data engineering, real-time analytics, and ML workloads
- Azure Synapse Analytics: SQL pools, Spark pools, Synapse Pipelines
- Azure Data Factory: ETL/ELT orchestration & transformation
- Azure Databricks: Delta Lake, Spark, MLflow integration
- Azure Stream Analytics: Real-time ingestion & processing
- Azure Data Lake Storage Gen2, Blob Storage, Delta Storage

**Data Science & Machine Learning**
- Azure ML: Model training, deployment, monitoring, MLOps
- Languages: Python, R, SQL, PL/SQL
- Libraries: Pandas, Scikit-learn, TensorFlow, PyTorch
- Experience with **ML Ops & Data Ops** pipelines

**Data Analytics & Visualization**
- Strong PL/SQL & procedural queries
- Experience with RDBMS (MS SQL, Oracle, PostgreSQL)
- Power BI: Data modeling, DAX, real-time dashboards
- Synapse Real-Time Analytics: KQL queries, telemetry analysis
- Azure Monitor, Log Analytics, Application Insights

**Integration & Architecture**
- REST APIs, Azure Functions, Logic Apps, Event Grid
- Event-driven & serverless architecture patterns
- Real-time & batch data processing pipelines

**Security & Governance**
- RBAC, Managed Identities, Private Endpoints
- Data lineage, classification, encryption, compliance frameworks

**Academic Background & Qualifications**
- Bachelor’s or Master’s in **Computer Science / Data Science / Engineering / IT / MCA**.
- Preferred: Postgraduate specialization in **AI/ML or Data Engineering**.

**Certifications (Mandatory - Any 2):

- **
- Microsoft Certified**:Azure Data Engineer Associate.**:

- Microsoft Certified**:Azure AI Engineer Associate.**:

- Microsoft Certified**:Azure Solutions Architect Expert.**:

- Databricks Certified**:Data Engineer Professional.**:

- Databricks Certified**:Machine Learning Professional.**

Work Location: In person

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